Billing Associate (AR & Denials)

Amperos Health is healthcare's first AI-native denial management and revenue recovery platform. Our agentic AI works claims end-to-end, from portal follow-ups and payor calls to appeals and medical records, so providers can resolve more denials, recover more revenue, and focus on what matters most: serving patients.

We just closed a $16M Series A led by Bessemer Venture Partners, with continued participation from Uncork Capital and Neo. We're still small, still early, and going after a $260B+ problem that's only getting worse. If you want to work on hard problems that matter, alongside people who care deeply about the mission (and each other), we'd love to meet you.

We are looking for a motivated Billing Associate with 1–3 years of experience in AR, denial management, and collections for medical, dental, and DME claims. You’ll work at the intersection of traditional RCM and cutting-edge AI, helping our customers collect more, faster, while ensuring our AI systems perform at the highest standard.

You’ll work to collect the outstanding claims of our customers, leveraging both traditional manual workflows, as well as our own workflow platform and AI for collections. As our product and customer base evolve, your responsibilities may shift to align with near-term priorities—this is a role with meaningful ownership and room to grow as we expand our billing team.

• Collect outstanding customer claims

  • Leverage customer and Amperos systems and platforms to identify a worklist of claims that need to be collected or worked on

  • Follow up on assigned claims, including calling payors, navigating payor portals, and leveraging customer PM systems

  • File appeals, resubmit claims, and escalate claims to specific customer teams as needed

  • Track activity within Amperos systems

• Serve as a backup for AI-driven workflows

  • Run specific AR-related actions (e.g., calls, payor portals, appeal letters) if requested by customers

  • Help develop and refine “backup” processes to ensure continuity when AI systems fail or require escalation

• Contribute to new product development

  • Provide feedback on new products and features, and on related sample AI results, including:

    • Payor portal automation

    • EOB retrieval

    • Payment posting

    • Benefit verification & eligibility calls

    • Appeals, reprocessing, resubmissions

  • Provide feedback and insight on various workflows and possible areas of automation

• 1–3 years of experience in RCM billing or AR follow-up

• Experience with leading PM systems, including NextGen, ModMed, Athenahealth, and more

• Strong understanding of various AR scenarios and related actions (claim status checks, denials, appeals, and follow-up)

• Comfortable speaking with insurance representatives and navigating phone trees/IVRs.

• Detail-oriented, organized, and reliable in documentation and follow-through

• Ability to work US hours (9am–6pm ET) to collaborate with our team and customers

• Comfortable working in a fast-paced, evolving environment where processes and priorities can change

• Competitive compensation with eligibility for a bonus on anniversary date

• Paid sick days and vacation days

• Top health insurance coverage at no cost to you (no deductible and no copay)

• Meal stipends

• Opportunity to grow with a rapidly scaling company and be an early member of a global billing team, as we expand our billing team in India

• Lead with Empathy - Great products and teams are built on empathy—whether for our customers, users, or team members. We take the time to walk in others' shoes, listen actively, and truly understand their challenges, needs, and perspectives.

• Humbly Ambitious - We combine humility with ambition. No task is beneath us, and no challenge too big. Greatness comes from being willing to do whatever it takes, while having the courage to take bold risks and learn from failures.

• Radical Agency - Own your domain. Drive initiatives with autonomy and accountability. Think deeply, communicate with the team, and maintain a bias for action.